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aesthetic photo editor - R4VE

aesthetic photo editor - R4VE

Maxim Kartuzov

Graphics & Design免费v5.0
App Store
评分

4.7

17,115 条评分

星级

★★★★★

最近更新

2025年9月26日

发布日期

2015年12月10日

更新内容

v5.0

Meet R4VE 5.0 With this new big update, we begin our long-term development journey for R4VE. Introducing Templates – one-click aesthetic solutions for your photos. - New vibes just dropped: Vaporwave, Webpunk, Y2K, VHS and more. - Instantly glow up your pics with ready-made edits that turn your shots into pure aesthetic. - More categories + fresh templates will keep rolling out, so your feed never gets boring. R4VE is just getting started.

应用信息

开发者
Maxim Kartuzov
分类
Graphics & Design
价格
免费
版本
5.0
App ID
1030361826

简介

R4VE is a progressive photo & stop motion editor which can be used for any creative ideas. With R4VE you can do anything - design a cover for your new mixtape, make a meme, produce a stop motion movie, take a stylish selfie or create a logo for your hipster coffee shop! R4VE features: • Great amount of stylish stickers, experimental filters and fancy text labels which can be applied on a photo • Movie Maker - a tool to produce videos & movies • Ability to craft custom stickers or text styles • A huge set of tools to work with photos such as perspective tool or filter tool • Eraser and background remover • Drawing tools and ability to save drawings as stickers And much much more! Important: If you choose to purchase R4VE PRO, payment will be charged to your iTunes account, and your account will be charged for renewal 24-hours prior to the end of the current period. Auto-renewal may be turned off at any time by going to your settings in the iTunes Store after purchase. Any unused portion of a free trial period, if offered, will be forfeited when you purchase a subscription. > Privacy Policy: https://r4ve.app/privacy-policy/ > Terms of Use: https://r4ve.app/pricing-terms/

下载量预测

专业 · 预览

预估总下载量

1.3M856K2.4M
保守估计乐观估计

7K

低 / 月

10K

预估 / 月

19K

高 / 月

基于17,115 条评分
假设评分率1.4%
应用年龄127 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。